Triple

T20824056
Position Surface form Disambiguated ID Type / Status
Subject Baltic Sea islands E512649 entity
Predicate includes P1393 FINISHED
Object Vormsi NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Vormsi | Statement: [Baltic Sea islands, includes, Vormsi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vormsi
Context triple: [Baltic Sea islands, includes, Vormsi]
  • A. Vormsi chosen
    Vormsi is a sparsely populated Estonian island in the Baltic Sea known for its coastal landscapes, former Swedish-speaking community, and tranquil rural character.
  • B. Vorma
    Vorma is a river in southeastern Norway that flows from Lake Mjøsa to the Glomma River and passes through the town of Eidsvoll.
  • C. Formas
    Formas is a Swedish government research council that funds research in the areas of environment, agricultural sciences, and spatial planning.
  • D. Formon
    Formon is an alternative spelling of the surname Forman, which is associated with various individuals and families of English-speaking origin.
  • E. Forman
    Forman is a surname of English origin borne by various notable individuals across fields such as politics, arts, and academia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e0b4ce39108190a6e8e5df4f1c8dc5 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2fc0cd081909e264cda686579ea completed April 21, 2026, 12:21 a.m.
Created at: April 16, 2026, 12:41 p.m.